The GCI Dashboard

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Country Rank

72


Zimbabwe

Recovery Rank for 180 countries/regions

Country Rank

71


Zimbabwe

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

3

Recovery Index
55.35
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
47.86
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

2

Severity Index
29.75
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

1

Severity Index
24.08
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

47.83

(100 = Strictest Measures, 0 = No Measures)


Population
14645468

(Medium Density)


GNI per capita (US$)

1,790

(Lower middle income)
5 Countries who have made the most progress in
curtailing the spread of the pandemic and can be
used as examples of best practices (Relative Rating)

4
3
2 Countries who are struggling to cope with the crisis
and who may need to consider maintaining stringent
non-pharmaceutical measures (Relative Rating)
1
1 Countries who are coping with the crisis with a low percentage
of infections and resulting deaths per population
(Relative Rating)
2
3 Countries who may be overwhelmed by the crisis with a high
percentage of infections and resulting deaths per population
(Relative Rating)
4
5

Travel Advisory


Passengers without a medical certificate with a negative Coronavirus (COVID-19) PCR test result issued at most 48 hours before departure from the first embarkation point are
subject to a PCR test and quarantine upon arrival.

Travel Advisory information provided and published with permission by IATA.


Zimbabwe Infection Trend


How can you tell if a curve is really flattening?

The number of daily confirmed cases has been used as an estimation of how severe the COVID-19 situation is in a given country. However, we’ve found that focusing on the country’s cumulative number of active cases gives a clearer picture of whether the infection curve is flattening.


Countries with Similar Characteristics


This table is generated by a GCI-developed tool to match countries based on their similar characteristics such as population, population density, income and climate.

Zimbabwe 47.86 55.35 14645468 Medium Density Lower middle income 21-25 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Benin 50.99 54.67 11,801,151 Medium Density Lower middle income > 30 deg 85%
Cambodia 51.03 60.33 16,486,542 Medium Density Lower middle income 26-30 deg 85%
Cameroon 25.25 35.07 25,876,380 Medium Density Lower middle income 26-30 deg 85%
Ghana 47.49 64.29 30,417,856 Medium Density Lower middle income > 30 deg 85%
Ivory Coast 47.52 55.84 25,716,544 Medium Density Lower middle income 26-30 deg 85%
Morocco 60.73 66.24 36,471,769 Medium Density Lower middle income 11-20 deg 85%
Nepal 29.91 35.80 28,608,710 Medium Density Lower middle income 11-20 deg 85%
Senegal 47.00 59.27 16,296,364 Medium Density Lower middle income > 30 deg 85%
Tunisia 28.40 37.93 11,694,719 Medium Density Lower middle income 11-20 deg 85%
Ukraine 39.77 55.13 44,385,155 Medium Density Lower middle income 11-20 deg 85%

GCI Recovery Forecast


The GCI Recovery Forecasting methodology relies on a Monte Carlo simulation model as we recognise that the factors that contribute to an increase / decrease in confirmed COVID19 cases are highly variable and subject to various localised circumstances and interventions. The P10 / P50 / P90 are probabilities assigned to the forecasts, with P10 being highly optimistic, and P90 being very conservative on recovery and reduction in cases. The forecast model is updated daily based on the latest case data.

Forecast Results:

Situation May Improve. The GCI Model indicates that the situation has a small probability of recovery, but there is insufficient evidence to suggest that the recovery trend will improve significantly in the near future.




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Recognition and Award:

Chairman's Award



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